Lead AI/ML Engineer

AiFutureIndia

Bengaluru

On-site

INR 3,500,000 - 6,000,000

Full time

11 days ago
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Job summary

AiFutureIndia is seeking an Architect for LLM-powered applications and predictive models in Bengaluru to design and deploy production-ready AI solutions using PyTorch, OpenAI APIs, and scalable deployment. You will build RAG pipelines, fine-tune open-source LLMs, and collaborate with backend teams to expose robust AI endpoints, while staying at the forefront of Generative AI research.

The role demands 6+ years in ML, strong math, and deep Python expertise, plus hands-on LangChain and vector DB

Qualifications

  • 6+ years in Machine Learning and Data Science.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Hands-on experience with LLMs, LangChain, and Vector Databases.

Responsibilities

  • Design and implement RAG pipelines for enterprise clients.
  • Fine-tune open-source LLMs on custom datasets.
  • Deploy scalable AI models into production environments.
  • Work closely with backend teams to integrate AI endpoints.
  • Stay updated with the latest research in Generative AI.

Skills

Python
PyTorch
TensorFlow
Machine Learning

Tools

LangChain
Pinecone
Weaviate
Docker
Kubernetes
FastAPI

Job description

Architect LLM-powered applications and predictive models. Must have hands-on experience with PyTorch, OpenAI APIs, and deploying models to production.

What You'll Do
  • Design and implement RAG (Retrieval-Augmented Generation) pipelines for enterprise clients.
  • Fine-tune open-source LLMs (Llama, Mistral) on custom datasets.
  • Deploy scalable AI models into production environments.
  • Work closely with backend teams to integrate AI endpoints.
  • Stay updated with the latest research in Generative AI.
What We're Looking For
  • 6+ years in Machine Learning and Data Science.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Hands-on experience with LLMs, LangChain, and Vector Databases (Pinecone, Weaviate).
  • Experience deploying models using Fastapi, Docker, and Kubernetes.
  • Strong mathematical background and problem-solving skills.
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